code: def test_oss_init():
      oss = OneSidedSelection(random_state=RND_SEED)
  
      assert oss.n_seeds_S == 1
      assert oss.n_jobs is None
      assert oss.random_state == RND_SEED
  
file_path: imbalanced-learn/imblearn/under_sampling/_prototype_selection/tests/test_one_sided_selection.py
imports: import numpy
  import pytest
  from sklearn.datasets import make_classification
  from sklearn.neighbors import KNeighborsClassifier
  from sklearn.utils._testing import assert_array_equal
  from imblearn.under_sampling import OneSidedSelection
label_desc: Use image node_id 1 for calling a global function with example usage: test_oss_init() without return types